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Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3195042
Abstract: In this letter, we propose a Deep Unfolding Network called PR-DUN to reduce the peak-to-average power ratio (PAPR), which is a thorny problem in Orthogonal Frequency-Division Multiplexing (OFDM) systems. The proposed multi-layer model is constructed…
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Keywords:
ofdm systems;
unfolding network;
papr reduction;
deep unfolding ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3221614
Abstract: Single-image super-resolution (SR) technology is critical in remote sensing fields because it can effectively improve the details of target images. However, the application of deep learning is limited due to the lack of interpretability and…
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Keywords:
fusion;
unfolding network;
remote sensing;
image ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3263100
Abstract: Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance. Each stage in DUN corresponds…
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Keywords:
network;
path controllable;
dun;
unfolding network ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3272286
Abstract: We present a new deep unfolding network for analysis-sparsity-based Compressed Sensing. The proposed network coined Decoding Network (DECONET) jointly learns a decoder that reconstructs vectors from their incomplete, noisy measurements and a redundant sparsifying analysis…
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Keywords:
network;
deconet;
based compressed;
unfolding network ... See more keywords